Receive
Bring orders and delivery requirements into a common format.
For regional fleets & warehouses
Every shipment.
One accountable
handoff.
We are building shipment coordination software for regional delivery teams. Our first focus: helping warehouse and dispatch operators catch loading mismatches and keep delivery evidence tied to the right order.
Read the proposed pilot approach
In development · Product demo uses synthetic data
Order data
Cargo scans
Coordination layerConsolidate · Verify · Propose
Operator reviewApprove dispatch
Fleet execution
Delivery + ledger
Physical events. Traceable decisions. Human control.
ONE OPERATION, CONNECTED
Cargo identityLoad planningFleet coordinationDelivery evidence
01 / The connected workflow
From the first order
to the final receipt.
A shared shipment record is the proposed foundation. Every scan, load check, assignment and delivery event stays connected to the same order.
Identify
Start with barcode events matched to a known shipment. RFID is a later validation step.
Consolidate
Group compatible cargo by destination, capacity and time window.
Verify loading
Check each shipment against the assigned vehicle manifest.
Dispatch
Review vehicle assignments and exceptions before an operator approves dispatch.
Close the loop
Link delivery evidence to reconciliation and settlement review.
Planned product scope. The demo simulates this workflow; hardware, AI and business-system integrations are not connected.
02 / Designed around operations
Less re-entry.
More coordination.
Starting with regional delivery teams, where cargo handling and dispatch need to work together.
AA shipment identity
A shipment identity
that survives every handoff.
The planned event layer connects label reads, vehicle assignments and proof of delivery. Missing scans and mismatches become explicit exceptions, rather than another spreadsheet.
Barcode-first MVPRFID pilot plannedEvent history
BConstraints first.
Constraints first.
Intelligence where it helps.
Capacity and delivery rules define what is feasible. A proposed Claude layer interprets documents, explains exceptions and drafts next steps. Operators approve consequential changes.
Rules + optimizationPlanned Claude integrationOperator approval
CDelivery is an event.
Delivery is an event.
Settlement is a workflow.
Connect a signed delivery record to the original order and agreed charges. Surface missing evidence before a billing review. Payment execution remains a separate, approved step.
Proof of deliveryCharge reconciliationApproval trail
Explore a complete handoff
A shipment's journey.
A decision you can inspect.
Import sample orders, verify cargo, consolidate loads and respond to a traffic exception. See what changes at each step.
Run the interactive demo03 / Product roadmap
Start focused.
Learn from the field.
The first proposed pilot pairs one warehouse with a regional fleet. Scope and milestones will be validated with operators.
Explain the workflow
Interactive prototype and proposed architecture. Operator discovery and customer validation are the next work to establish.
Connect the essentials
Order import, barcode scan events, load manifests, approval-based dispatch and delivery evidence.
Measure, then expand
Validate RFID reads, traffic feeds and system integrations. Measure manual touches, loading exceptions and on-time delivery.
04 / A focused first pilot
One warehouse.
One regional fleet.
Our initial design target is a regional operation with 10–30 vehicles. This is a customer hypothesis to validate, not an existing customer base or a live pilot.
Map one costly handoff
Work with warehouse and dispatch operators to understand how orders become load manifests, where information is re-entered and how mistakes are found.
Agree a bounded trial
Proposed scope: order import, barcode events, load mismatch review, human-approved dispatch and proof of delivery. Integration needs and data permissions come first.
Compare with the baseline
Define manual touches, loading exceptions and reconciliation time with the operator. No savings, reliability targets or pricing are claimed before validation.
RFID, live traffic, AI route optimization and payment execution are outside the first proposed pilot. Timing and commercial terms will be agreed after discovery.
05 / About AI Logistics OS
Building around
the handoff.
AI Logistics OS is an early-stage logistics software project. We are developing an operator-reviewed workflow from order intake to delivery evidence, starting with the warehouse-to-vehicle handoff.
Product direction
Keep shipment identity, load checks and delivery records connected. Let rules check operational constraints and people approve consequential actions.
Our first planned Claude use case is extracting structured order requirements from unstructured delivery instructions. Schema checks, business rules and operator review would sit between a model response and any operational decision.
Read the proposed architecture →Where we stand
- Identity
- AI Logistics OS is a working name. A registered company name and address have not been published.
- Product
- Interactive prototype with synthetic data; no production customers or measured customer outcomes are claimed.
- AI integration
- Claude integration is planned. The public demo does not call Claude or execute real dispatch or payments.
- Business enquiries
- Use our contact page to discuss an operator interview or a proposed pilot. See our privacy notice before sending information.
Before you explore
Clear answers.
Realistic boundaries.
Is the product available today?
AI Logistics OS is a working name for an early-stage product concept. The product is in development and is not available for production use. The interactive demo uses synthetic data and predefined logic, with no live AI, vehicles or connected devices.
Why connect software with cargo identification?
A plan is only useful when it matches what happened on the floor. Barcode and RFID events are intended to connect a shipment record to physical handling. Reader reliability, installation and scan coverage still need field validation.
Where would Claude fit in the product?
The proposed integration would use Claude to extract order requirements, explain exceptions and draft actions through controlled tools. A rules and optimization service would check feasibility. Claude is not connected to this demo, and no Anthropic partnership or program acceptance is claimed.
What would a pilot need to prove?
That operators spend less time re-entering data, catch more loading mismatches and can inspect dispatch recommendations. Pilot targets and commercial pricing will be set after discovery; no measured performance gains are claimed.
Design partners wanted
Run a warehouse
or a regional fleet?
Walk us through one real handoff, from order to proof of delivery. We are looking for a small number of operators to shape the first pilot.